neilliang90 / SadamLinks
☆14Updated 6 years ago
Alternatives and similar repositories for Sadam
Users that are interested in Sadam are comparing it to the libraries listed below
Sorting:
- diffGrad: An Optimization Method for Convolutional Neural Networks☆54Updated 3 years ago
- ☆41Updated 4 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 6 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 5 years ago
- This repository implements the latent optimization using automatic differentiation from the paper LOGAN.☆12Updated 5 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆24Updated 5 years ago
- ☆47Updated 4 years ago
- Simple implementation of the LSUV initialization in PyTorch☆58Updated last year
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- ☆39Updated 5 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 6 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆46Updated 5 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆85Updated 4 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 4 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 5 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 6 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 7 years ago
- ☆55Updated 4 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago